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m-aliabbas1
/
affirmation_med

Text Classification
Transformers
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use m-aliabbas1/affirmation_med with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use m-aliabbas1/affirmation_med with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="m-aliabbas1/affirmation_med")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("m-aliabbas1/affirmation_med")
    model = AutoModelForSequenceClassification.from_pretrained("m-aliabbas1/affirmation_med")
  • Notebooks
  • Google Colab
  • Kaggle
affirmation_med
116 MB
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  • 1 contributor
History: 3 commits
m-aliabbas1's picture
m-aliabbas1
Upload tokenizer
5c20b73 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification about 1 year ago
  • config.json
    983 Bytes
    Upload BertForSequenceClassification about 1 year ago
  • model.safetensors
    115 MB
    xet
    Upload BertForSequenceClassification about 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    712 kB
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.3 kB
    Upload tokenizer about 1 year ago
  • vocab.txt
    232 kB
    Upload tokenizer about 1 year ago